Data Visualization Software Engineer – UK

Company: Bright Purple Resourcing
Apply for the Data Visualization Software Engineer – UK
Location: London
Job Description:

Salary: £95,000 – 95,000 per year

Requirements

  • Strong experience building dashboards and analytics in Python and ideally Grafana
  • Proven background leading engineers in an agile environment
  • Solid understanding of Linux and AWS
  • Excellent communication skills; you can explain complex ideas simply
  • A strong technical degree (Computer Science, Maths, Statistics, Engineering, or similar)
  • Knowledge of networking protocols and how the internet actually works (nice to have)
  • Experience with Splunk & SPL, SQL or similar data manipulation skills (nice to have)
  • Exposure to network security products (nice to have)
  • HTML, CSS, JavaScript (nice to have)
  • Data Science or Machine Learning experience (nice to have)

Responsibilities

  • Leading a small, highly skilled team focused on network & security analytics
  • Designing and building advanced Grafana dashboards running in Kubernetes
  • Turning complex data into clear, insightful visualisations
  • Developing and reviewing complex queries (Grafana, Splunk, Python)
  • Mentoring engineers and shaping technical best practice
  • Balancing hands‑on development with technical leadership and ownership

Technologies

  • AWS
  • CSS
  • Grafana
  • JavaScript
  • Kubernetes
  • Linux
  • Machine Learning
  • Network
  • Python
  • SQL
  • Security
  • Splunk
  • Cloud

More

We are a high‑growth cyber security technology company that protects some of the worlds most critical online services from large‑scale DDoS and application attacks. Our sophisticated software is essential for keeping entire businesses online. Were expanding our world‑class engineering team and looking for a Principal‑level expert to lead the way in network and security analytics. We offer a hybrid working model for Edinburgh‑based engineers, with fully remote options available for the right candidate. Join us to work with cutting‑edge tech on complex data and meaningful problems, in a culture that values ownership, curiosity, and smart engineering.

last updated 27 week of 2026

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Posted: July 10th, 2026